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Evolving Reaction-Diffusion Controllers for Minimally Cognitive Animats

  • Kyran Dale
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4095)

Abstract

This paper describes work carried out to investigate whether a classic reaction-diffusion (RD) system could be used to control a ‘minimally cognitive’ animat. The reaction-diffusion system chosen was that first described by Gray and Scott (Gray-Scott) and the minimally cognitive behaviors those used by Beer et. al involving the fixation and discrimination of diamond and circle shapes by a whiskered animat. The parameters of this RD-controller were evolved using an evolutionary, or genetic, algorithm (GA).

Keywords

Genetic Algorithm Weighted Link Rich Dynamic Circle Shape Redundant Link 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Kyran Dale
    • 1
  1. 1.Centre for Computational Neuroscience and Robotics (CCNR), InformaticsUniversity of SussexBrightonUK

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